At a Glance
- Tasks: Lead strategic initiatives and drive data adoption in the transport sector.
- Company: Join Databricks, a leader in data and AI solutions.
- Benefits: Attractive salary, flexible working options, and growth opportunities.
- Other info: Be part of a dynamic team making a real impact in the industry.
- Why this job: Shape the future of transport with cutting-edge data and AI technologies.
- Qualifications: Experience in account management and a passion for data-driven solutions.
The predicted salary is between 59400 - 72600 £ per year.
Databricks seeks a Strategic Account Executive for the UK TTLH team to grow one of our most strategic rail and public transport accounts.
You will lead multi-stakeholder initiatives, shape the strategic plan, and drive adoption of data and AI platforms across the organization.
You will partner with enterprise customers to co-create value through data, analytics, and AI, aligning with cloud providers and GSIs to deliver joint success.
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Strategic Account Executive, UK Transport & AI (Big Data) employer: Neon
NEON is an exceptional employer that prioritises a flexible working environment, allowing employees to balance their professional and personal lives effectively. With a commitment to progressive values, NEON offers a 28-hour work week, generous holiday allowances, and a strong focus on employee development, ensuring that team members can grow both personally and professionally while contributing to meaningful social change in East London.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Account Executive, UK Transport & AI (Big Data)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Neon!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Neon.
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When you find a suitable opening like Strategic Account Executive, UK Transport & AI (Big Data) at Neon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Strategic Account Executive, UK Transport & AI (Big Data)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Neon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Neon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Neon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Neon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
